def parse_data(self, response):
item = AqiItem()
# 取出所有行数的tr标签
tr_list = response.xpath('//tr')
# 删除第一行，表头
tr_list.pop(0)
# 遍历tr,取出数据
for tr in tr_list:
# 日期
item['date'] = tr.xpath('./td[1]/text()').extract()
# AQI
item['aqi'] = tr.xpath('./td[2]/text()').extract()
# 质量等级
item['level'] = tr.xpath('./td[3]/span/text()').extract()
# PM2.5
item['PM2_5'] = tr.xpath('./td[4]/text()').extract()
# PM10
item['PM10'] = tr.xpath('./td[5]/text()').extractt()
# SO2
item['SO2'] = tr.xpath('./td[6]/text()').extract()
# CO
item['CO'] = tr.xpath('./td[7]/text()').extract()
# NO2
item['NO2'] = tr.xpath('./td[8]/text()').extract()
# O3 8h
item['O3'] = tr.xpath('./td[9]/text()').extract()
yield item
def parse_day(self, response):
item = AqiItem()
title = response.xpath('//*[@id="title"]/text()').extract_first()
item['city_name'] = title[8:-11]
# 1. 取出所有 tr_list
tr_list = response.xpath('//tr')
# 2.删除表头
tr_list.pop(0)
for tr in tr_list:
# 日期
item['date'] = tr.xpath('./td[1]/text()').extract_first()
# AQI
item['aqi'] = tr.xpath('./td[2]/text()').extract_first()
# 质量等级
item['level'] = tr.xpath('./td[3]//text()').extract_first()
# PM2.5
item['pm2_5'] = tr.xpath('./td[4]/text()').extract_first()
# PM10
item['pm10'] = tr.xpath('./td[5]/text()').extract_first()
# 二氧化硫
item['so_2'] = tr.xpath('./td[6]/text()').extract_first()
# 一氧化碳
item['co'] = tr.xpath('./td[7]/text()').extract_first()
# 二氧化氮
item['no_2'] = tr.xpath('./td[8]/text()').extract_first()
# 臭氧
item['o_3'] = tr.xpath('./td[9]/text()').extract_first()
# 将数据 -->engine-->pipeline
yield item
def parse_day(self, response):
# 获取所有的数据节点
node_list = response.xpath('//tr')
city = response.xpath('//div[@class="panel-heading"]/h3/text()'
).extract_first().split('2')[0]
# 遍历数据节点列表
for node in node_list:
# 创建存储数据的item容器
item = AqiItem()
# 先填写一些固定参数
item['city'] = city
item['url'] = response.url
item['timestamp'] = time.time()
# 数据
item['date'] = node.xpath('./td[1]/text()').extract_first()
item['AQI'] = node.xpath('./td[2]/text()').extract_first()
item['LEVEL'] = node.xpath('./td[3]/span/text()').extract_first()
item['PM2_5'] = node.xpath('./td[4]/text()').extract_first()
item['PM10'] = node.xpath('./td[5]/text()').extract_first()
item['SO2'] = node.xpath('./td[6]/text()').extract_first()
item['CO'] = node.xpath('./td[7]/text()').extract_first()
item['NO2'] = node.xpath('./td[8]/text()').extract_first()
item['O3'] = node.xpath('./td[9]/text()').extract_first()
# for k, v in item.items():
# print(k, v)
# print('=========================')
# 将数据返回给引擎
yield item
def parse_day(self, response):
"""
解析目标数据 每天的数据
:param response:
:return:
"""
item = AqiItem()
title = response.xpath('//*[@id="title"]/text()').extract_first()
item['city_name'] = title[8:-11]
tr_list = response.xpath('//tr')
tr_list.pop(0)
for tr in tr_list:
# 日期
item['date'] = tr.xpath('./td[1]/text()').extract_first()
# AQI
item['aqi'] = tr.xpath('./td[2]/text()').extract_first()
# 质量等级
item['level'] = tr.xpath('./td[3]//text()').extract_first()
# PM2.5
item['pm2_5'] = tr.xpath('./td[4]/text()').extract_first()
# PM10
item['pm_10'] = tr.xpath('./td[5]/text()').extract_first()
# 二氧化硫
item['so_2'] = tr.xpath('./td[6]/text()').extract_first()
# 一氧化碳
item['co'] = tr.xpath('./td[7]/text()').extract_first()
# 二氧化氮
item['no_2'] = tr.xpath('./td[8]/text()').extract_first()
# 臭氧
item['o_3'] = tr.xpath('./td[9]/text()').extract_first()
yield item
def parse_day(self, response):
'''
从Response里获取每个城市每个月的每一天数据，并存储到item
'''
url = response.url
urlencode_city = url[url.find("=") + 1:url.rfind("&")]
# 将url编码的字符串，转为UTF-8字符串
city = urllib.unquote(urlencode_city)
tr_list = response.xpath("//div[@class='row']//tr")
tr_list.pop(0)
for tr in tr_list:
item = AqiItem()
item['city'] = city.decode("utf-8")
item['date'] = tr.xpath("./td[1]/text()").extract_first()
item['aqi'] = tr.xpath("./td[2]/text()").extract_first()
item['level'] = tr.xpath("./td[3]/span/text()").extract_first()
item['pm2_5'] = tr.xpath("./td[4]/text()").extract_first()
item['pm10'] = tr.xpath("./td[5]/text()").extract_first()
item['so2'] = tr.xpath("./td[6]/text()").extract_first()
item['co'] = tr.xpath("./td[7]/text()").extract_first()
item['no2'] = tr.xpath("./td[8]/text()").extract_first()
item['o3'] = tr.xpath("./td[9]/text()").extract_first()
yield item
def parse(self, response):
city_name_list = response.xpath('/html/body/div[3]/div/div[1]/div[2]/div[2]/ul/div[2]/li/a/text()').extract()[2:3]
city_link_list = response.xpath('/html/body/div[3]/div/div[1]/div[2]/div[2]/ul/div[2]/li/a/@href').extract()[2:3]
for city_name, city_link in zip(city_name_list, city_link_list):
item = AqiItem()
item['city_name'] = city_name
# 拼接url
city_url = self.base_url + city_link
# 发送城市月份天气请求
yield scrapy.Request(city_url, callback=self.parse_month, meta={'aqi': item})
def parse(self, response):
# 所有的城市列表的href
monthdata_href_list = response.xpath(
'//div[@class="all"]//ul//a/@href')[:3]
for monthdata_href in monthdata_href_list:
item = AqiItem()
url = 'https://www.aqistudy.cn/historydata/' + monthdata_href.extract(
)
item['city'] = url[55:]
# print(url)
yield scrapy.Request(url,
callback=self.parse_monthdata,
meta={'item': item})
def parse(self, response):
item = AqiItem()
city_name_list = response.xpath(
'/html/body/div[3]/div/div[1]/div[2]/div[2]/ul/div[2]/li/a/text()'
).extract()
city_link_list = response.xpath(
'/html/body/div[3]/div/div[1]/div[2]/div[2]/ul/div[2]/li/a/@href'
).extract()
for city_name, city_link in zip(city_name_list, city_link_list):
month_url = self.base_url + city_link
item["city_name"] = city_name
yield scrapy.Request(url=month_url,
meta={"aqi_item": item},
callback=self.month_parse)
def parse(self, response):
city_name_list = response.xpath(
'//div[@class="bottom"]/ul/div[2]/li/a/text()').extract()
city_link_list = response.xpath(
'//div[@class="bottom"]/ul/div[2]/li/a/@href').extract()
# print(city_name_list, city_link_list)
for city_name, city_link in zip(city_name_list, city_link_list):
item = AqiItem()
# item = {}
item['city_name'] = city_name
city_url = self.base_url + city_link
item['city_url'] = city_url
# yield scrapy.FormRequest(city_url, callback=self.parse_month, meta={'aqi': item})
yield item
def parse(self, response):
city_name_list = response.xpath(
'/html/body/div[3]/div/div[1]/div[2]/div[2]/ul/div[2]/li/a/text()'
).extract()[36:37]
city_link_list = response.xpath(
'/html/body/div[3]/div/div[1]/div[2]/div[2]/ul/div[2]/li/a/@href'
).extract()[36:37]
for city_name, city_link in zip(city_name_list, city_link_list):
item = AqiItem()
item['city_name'] = city_name
url = self.base_url + city_link
yield scrapy.Request(url,
meta={'citykey': item},
callback=self.parse_month)
def parse_day(self, response):
city_name = response.meta['city']
node_list = response.xpath('//tbody/tr')
node_list.pop(0)
for node in node_list:
item = AqiItem()
item['city'] = city_name
item['date'] = node.xpath('./td[1]/text()').extract_first()
item['aqi'] = node.xpath('./td[2]/text()').extract_first()
item['level'] = node.xpath('./td[3]/span/text()').extract_first()
item['pm2_5'] = node.xpath('./td[4]/text()').extract_first()
item['pm10'] = node.xpath('./td[5]/text()').extract_first()
item['so2'] = node.xpath('./td[6]/text()').extract_first()
item['co'] = node.xpath('./td[7]/text()').extract_first()
item['no2'] = node.xpath('./td[8]/text()').extract_first()
item['o3'] = node.xpath('./td[9]/text()').extract_first()
yield item
def parse_day(self, response):
node_list = response.xpath("//tr")
node_list.pop(0)
city = response.xpath("//h2[@id='title']/text()").extract()[0]
for node in node_list:
item = AqiItem()
item['city'] = city[8:-11]
item['date'] = node.xpath("./td[1]/text()")
item['aqi'] = node.xpath("./td[2]/text()")
item['level'] = node.xpath("./td[3]/span/text()")
item['pm2_5'] = node.xpath("./td[4]/text()")
item['pm10'] = node.xpath("./td[5]/text()")
item['so2'] = node.xpath("./td[6]/text()")
item['co'] = node.xpath("./td[7]/text()")
item['no2'] = node.xpath("./td[8]/text()")
item['o3'] = node.xpath("./td[9]/text()")
yield item
def parse_day(self, response):
# 根据标题下标获取城市名
title = response.xpath("//h2[@id='title']/text()").extract_first()
city_name = title[:title.find(u'空气')]
node_list = response.xpath('//tbody/tr')
node_list.pop(0)
for node in node_list:
item = AqiItem()
item['city'] = city_name
item['date'] = node.xpath('./td[1]/text()').extract_first()
item['aqi'] = node.xpath('./td[2]/text()').extract_first()
item['level'] = node.xpath('./td[3]/span/text()').extract_first()
item['pm2_5'] = node.xpath('./td[4]/text()').extract_first()
item['pm10'] = node.xpath('./td[5]/text()').extract_first()
item['so2'] = node.xpath('./td[6]/text()').extract_first()
item['co'] = node.xpath('./td[7]/text()').extract_first()
item['no2'] = node.xpath('./td[8]/text()').extract_first()
item['o3'] = node.xpath('./td[9]/text()').extract_first()
yield item
def parse_day(self, response):
node_list = response.xpath("//tr")
node_list.pop(0)
# extract_first() 直接获取列表里的第一个元素并返回（不会返回列表）
# extract() 返回列表
for node in node_list:
item = AqiItem()
item['city'] = response.meta["city_name"]
item['date'] = node.xpath("./td[1]/text()").extract()[0]
item['aqi'] = node.xpath("./td[2]/text()").extract()[0]
item['level'] = node.xpath("./td[3]/span/text()").extract()[0]
item['pm2_5'] = node.xpath("./td[4]/text()").extract()[0]
item['pm10'] = node.xpath("./td[5]/text()").extract()[0]
item['so2'] = node.xpath("./td[6]/text()").extract()[0]
item['co'] = node.xpath("./td[7]/text()").extract()[0]
item['no2'] = node.xpath("./td[8]/text()").extract()[0]
item['o3'] = node.xpath("./td[9]/text()").extract()[0]
yield item
def parse_day(self, response):
node_list = response.xpath("//div[@class='row']//tbody/tr")
if not len(node_list):
return
node_list.pop(0)
for node in node_list:
item = AqiItem()
item['city'] = response.meta['city']
item["date"] = node.xpath("./td[1]//text()").extract_first()
item["aqi"] = node.xpath("./td[2]//text()").extract_first()
item["level"] = node.xpath("./td[3]//text()").extract_first()
item["pm2_5"] = node.xpath("./td[4]//text()").extract_first()
item["pm10"] = node.xpath("./td[5]//text()").extract_first()
item["so2"] = node.xpath("./td[6]//text()").extract_first()
item["co"] = node.xpath("./td[7]//text()").extract_first()
item["no2"] = node.xpath("./td[8]//text()").extract_first()
item["o3"] = node.xpath("./td[9]//text()").extract_first()
yield item
def parse_day(self, response):
'''
从Response里获取每个城市每个月的每一天数据，并保存到item
'''
tr_list = response.xpath("//div[@class='row']//tr")
# 删除第一个元素 标题
# tr_list.pop(0)
for tr in tr_list:
item = AqiItem()
item['city'] = response.meta["name"]
item['date'] = tr.xpath("./td[1]/text()").extract_first()
item['aqi'] = tr.xpath("./td[2]/text()").extract_first()
item['level'] = tr.xpath("./td[3]/span/text()").extract_first()
item['pm2_5'] = tr.xpath("./td[4]/text()").extract_first()
item['pm10'] = tr.xpath("./td[5]/text()").extract_first()
item['so2'] = tr.xpath("./td[6]/text()").extract_first()
item['co'] = tr.xpath("./td[7]/text()").extract_first()
item['no2'] = tr.xpath("./td[8]/text()").extract_first()
item['o3'] = tr.xpath("./td[9]/text()").extract_first()
yield item
def parse_day(self, response):
print(len(response.body))
city_name = response.meta['city']
node_list = response.xpath("//tbody/tr")
# 30
node_list.pop(0)
for node in node_list:
item = AqiItem()
item['city'] = city_name
item['date'] = node.xpath("./td[1]/text()").extract_first()
item['aqi'] = node.xpath("./td[2]/text()").extract_first()
item['level'] = node.xpath("./td[3]/span/text()").extract_first()
item['pm2_5'] = node.xpath("./td[4]/text()").extract_first()
item['pm10'] = node.xpath("./td[5]/text()").extract_first()
item['so2'] = node.xpath("./td[6]/text()").extract_first()
item['co'] = node.xpath("./td[7]/text()").extract_first()
item['no2'] = node.xpath("./td[8]/text()").extract_first()
item['o3'] = node.xpath("./td[9]/text()").extract_first()
print(item["city"])
yield item
